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2020 – today
- 2024
[j2]Julian Suk
, Pim de Haan, Phillip Lippe, Christoph Brune, Jelmer M. Wolterink:
Mesh neural networks for SE(3)-equivariant hemodynamics estimation on the artery wall. Comput. Biol. Medicine 173: 108328 (2024)- [c15]Davide Talon, Phillip Lippe, Stuart James, Alessio Del Bue, Sara Magliacane:
Towards the Reusability and Compositionality of Causal Representations. CLeaR 2024: 296-324 - [c14]Samuele Papa, Riccardo Valperga, David M. Knigge, Miltiadis Kofinas, Phillip Lippe, Jan-Jakob Sonke, Efstratios Gavves:
How to Train Neural Field Representations: A Comprehensive Study and Benchmark. CVPR 2024: 22616-22625 - [i19]Davide Talon, Phillip Lippe, Stuart James, Alessio Del Bue, Sara Magliacane:
Towards the Reusability and Compositionality of Causal Representations. CoRR abs/2403.09830 (2024) - [i18]Daniel Gallo Fernández, Robert van der Klis, Razvan-Andrei Matisan, Janusz Partyka, Efstratios Gavves, Samuele Papa, Phillip Lippe:
NARAIM: Native Aspect Ratio Autoregressive Image Models. CoRR abs/2410.10012 (2024) - [i17]John Gkountouras, Matthias Lindemann, Phillip Lippe, Efstratios Gavves, Ivan Titov:
Language Agents Meet Causality - Bridging LLMs and Causal World Models. CoRR abs/2410.19923 (2024) - 2023
- [c13]Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, Efstratios Gavves:
Causal Representation Learning for Instantaneous and Temporal Effects in Interactive Systems. ICLR 2023 - [c12]Adeel Pervez, Phillip Lippe, Efstratios Gavves:
Differentiable Mathematical Programming for Object-Centric Representation Learning. ICLR 2023 - [c11]Adeel Pervez, Phillip Lippe, Efstratios Gavves:
Scalable Subset Sampling with Neural Conditional Poisson Networks. ICLR 2023 - [c10]Phillip Lippe, Bas Veeling, Paris Perdikaris, Richard E. Turner, Johannes Brandstetter:
PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers. NeurIPS 2023 - [c9]Sindy Löwe, Phillip Lippe, Francesco Locatello, Max Welling:
Rotating Features for Object Discovery. NeurIPS 2023 - [c8]Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, Efstratios Gavves:
BISCUIT: Causal Representation Learning from Binary Interactions. UAI 2023: 1263-1273 - [i16]Sindy Löwe, Phillip Lippe, Francesco Locatello, Max Welling:
Rotating Features for Object Discovery. CoRR abs/2306.00600 (2023) - [i15]Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, Efstratios Gavves:
BISCUIT: Causal Representation Learning from Binary Interactions. CoRR abs/2306.09643 (2023) - [i14]Phillip Lippe, Bastiaan S. Veeling, Paris Perdikaris, Richard E. Turner, Johannes Brandstetter:
PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers. CoRR abs/2308.05732 (2023) - [i13]Samuele Papa, Riccardo Valperga, David M. Knigge, Miltiadis Kofinas, Phillip Lippe, Jan-Jakob Sonke, Efstratios Gavves:
How to Train Neural Field Representations: A Comprehensive Study and Benchmark. CoRR abs/2312.10531 (2023) - 2022
- [j1]Sindy Löwe, Phillip Lippe, Maja Rudolph, Max Welling:
Complex-Valued Autoencoders for Object Discovery. Trans. Mach. Learn. Res. 2022 (2022) - [c7]Anna Langedijk, Verna Dankers, Phillip Lippe, Sander Bos, Bryan Cardenas Guevara, Helen Yannakoudakis, Ekaterina Shutova:
Meta-Learning for Fast Cross-Lingual Adaptation in Dependency Parsing. ACL (1) 2022: 8503-8520 - [c6]Phillip Lippe, Taco Cohen, Efstratios Gavves:
Efficient Neural Causal Discovery without Acyclicity Constraints. ICLR 2022 - [c5]Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, Stratis Gavves:
CITRIS: Causal Identifiability from Temporal Intervened Sequences. ICML 2022: 13557-13603 - [c4]Johann Brehmer, Pim de Haan, Phillip Lippe, Taco S. Cohen:
Weakly supervised causal representation learning. NeurIPS 2022 - [i12]Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, Efstratios Gavves:
CITRIS: Causal Identifiability from Temporal Intervened Sequences. CoRR abs/2202.03169 (2022) - [i11]Johann Brehmer, Pim de Haan, Phillip Lippe, Taco Cohen:
Weakly supervised causal representation learning. CoRR abs/2203.16437 (2022) - [i10]Sindy Löwe, Phillip Lippe, Maja Rudolph, Max Welling:
Complex-Valued Autoencoders for Object Discovery. CoRR abs/2204.02075 (2022) - [i9]Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, Efstratios Gavves:
iCITRIS: Causal Representation Learning for Instantaneous Temporal Effects. CoRR abs/2206.06169 (2022) - [i8]Adeel Pervez, Phillip Lippe, Efstratios Gavves:
Differentiable Mathematical Programming for Object-Centric Representation Learning. CoRR abs/2210.02159 (2022) - [i7]Julian Suk, Pim de Haan, Phillip Lippe, Christoph Brune, Jelmer M. Wolterink:
Mesh Neural Networks for SE(3)-Equivariant Hemodynamics Estimation on the Artery Wall. CoRR abs/2212.05023 (2022) - 2021
- [c3]Phillip Lippe, Efstratios Gavves:
Categorical Normalizing Flows via Continuous Transformations. ICLR 2021 - [c2]Julian Suk, Pim de Haan, Phillip Lippe, Christoph Brune, Jelmer M. Wolterink:
Mesh Convolutional Neural Networks for Wall Shear Stress Estimation in 3D Artery Models. STACOM@MICCAI 2021: 93-102 - [i6]Anna Langedijk, Verna Dankers, Phillip Lippe, Sander Bos, Bryan Cardenas Guevara, Helen Yannakoudakis, Ekaterina Shutova:
Meta-learning for fast cross-lingual adaptation in dependency parsing. CoRR abs/2104.04736 (2021) - [i5]Phillip Lippe, Taco Cohen, Efstratios Gavves:
Efficient Neural Causal Discovery without Acyclicity Constraints. CoRR abs/2107.10483 (2021) - [i4]Julian Suk, Pim de Haan, Phillip Lippe, Christoph Brune, Jelmer M. Wolterink:
Mesh convolutional neural networks for wall shear stress estimation in 3D artery models. CoRR abs/2109.04797 (2021) - 2020
- [c1]Douwe Kiela, Hamed Firooz, Aravind Mohan, Vedanuj Goswami, Amanpreet Singh, Casey A. Fitzpatrick, Peter Bull, Greg Lipstein, Tony Nelli, Ron Zhu, Niklas Muennighoff, Riza Velioglu, Jewgeni Rose, Phillip Lippe, Nithin Holla, Shantanu Chandra, Santhosh Rajamanickam, Georgios Antoniou, Ekaterina Shutova, Helen Yannakoudakis, Vlad Sandulescu, Umut Ozertem, Patrick Pantel, Lucia Specia, Devi Parikh:
The Hateful Memes Challenge: Competition Report. NeurIPS (Competition and Demos) 2020: 344-360 - [i3]Phillip Lippe, Efstratios Gavves:
Categorical Normalizing Flows via Continuous Transformations. CoRR abs/2006.09790 (2020) - [i2]Phillip Lippe, Pengjie Ren, Hinda Haned, Bart Voorn, Maarten de Rijke:
Diversifying Task-oriented Dialogue Response Generation with Prototype Guided Paraphrasing. CoRR abs/2008.03391 (2020) - [i1]Phillip Lippe, Nithin Holla, Shantanu Chandra, Santhosh Rajamanickam, Georgios Antoniou, Ekaterina Shutova, Helen Yannakoudakis:
A Multimodal Framework for the Detection of Hateful Memes. CoRR abs/2012.12871 (2020)
Coauthor Index
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